NoLogo: a new statistical model highlights the diversity and suggests new classes of Crm1-dependent nuclear export signals-Reference-Cited by-同舟云学术

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NoLogo: a new statistical model highlights the diversity and suggests new classes of Crm1-dependent nuclear export signals

Published:2018-02-27 Issue:1 Volume:19 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Liku Muluye E.,Legere Elizabeth-Ann,Moses Alan M.

Funder

National Science and Engineering Research Council

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-018-2076-7.pdf

Reference41 articles.

1. Stormo GD. DNA binding sites: representation and discovery. Bioinformatics. 2000;16:16–23.

2. Schneider TD, Stephens RM. Sequence logos: a new way to display consensus sequences. Nucleic Acids Res. 1990;18:6097–100.

3. Crooks GE, Hon G, Chandonia J-M, Brenner SE. WebLogo: a sequence logo generator. Genome Res. 2004;14:1188–90.

4. Wen W, Meinkoth JL, Tsien RY, Taylor SS. Identification of a signal for rapid export of proteins from the nucleus. Cell. 1995;82:463–73.

5. Fischer U, Huber J, Boelens WC, Mattaj IW, Lührmann R. The HIV-1 rev activation domain is a nuclear export signal that accesses an export pathway used by specific cellular RNAs. Cell. 1995;82:475–83.

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4. Identification of peptide domains involved in the subcellular localization of the feline coronavirus 3b protein;Journal of General Virology;2019-10-01

5. Structural prerequisites for CRM1-dependent nuclear export signaling peptides: accessibility, adapting conformation, and the stability at the binding site;Scientific Reports;2019-04-29

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